Model Detail
Mistral-Small-3.1-24B-Instruct-2503
—Mistral-Small-3.1-24B-Instruct-2503 is an AI model with 24B parameters released by Mistral. And supports text+image->text inputs, distributed under the permissive apache-2.0 license.
Mistral-Small-3.1-24B-Instruct-2503 is priced at $0.351/M input tokens and $0.555/M output tokens. Operationally the model offers a 128K-token context window, which matters when sizing it for prompt-heavy or latency-sensitive workloads. At this input rate the model sits in the commodity tier and is suitable for high-volume workloads where per-call cost dominates the decision.
Mistral-Small-3.1-24B-Instruct-2503 ships with 24B parameters. The published knowledge cutoff is 2023-10-31, so newer events will not be reflected in zero-shot answers without retrieval. Total weight footprint is approximately 24.0 GB, which is the relevant figure when planning local-inference VRAM. The apache-2.0 license is permissive, allowing commercial deployment and derivative work without per-seat fees, though attribution requirements still apply.
Downloads of Mistral-Small-3.1-24B-Instruct-2503 have moved -9.2% over the trailing seven days. That is a slight downtrend, consistent with normal cooling as newer models compete for the same workloads. These numbers are signal, not guarantee — week-over-week download counts on Hugging Face also reflect mirror traffic, CI scrapes, and one-off benchmarking runs.
Mistral-Small-3.1-24B-Instruct-2503 is best fit for general-purpose AI workloads, and high-volume batch jobs where per-call cost dominates the budget. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.
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